Guides and function manuals

These pages explain how public functions work together. For exact signatures and attribute documentation, follow the API links embedded in each guide.

• Core numerics — kernels, distances, bandwidth selection, optimization, solvers, metrics, and extension bases.
• Kernels and bandwidths — neighbourhood design and selection strategy.
• Diagnostics and inference — fit, residuals, influence, uncertainty, collinearity, time, weights, and regimes.
• Visualization — function-by-function examples and a 47-figure gallery.
• Prediction and results — capability differences and result-object conventions.
• Spatiotemporal data — row-wise versus stage-based time, units, and leakage prevention.
• Geospatial I/O — arrays, DataFrames, GeoDataFrames, persistence, and datasets.
• Datasets — bundled dataset registry and licensing caveats.
• Performance and reproducibility — threads, random seeds, search cost, and benchmarks.
• Troubleshooting — common shape, bandwidth, rank, optional-dependency, and convergence errors.